Triple

T8867723
Position Surface form Disambiguated ID Type / Status
Subject Everman, Texas E211060 entity
Predicate adjacentTo P224 FINISHED
Object Burleson, Texas E445812 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Burleson, Texas | Statement: [Everman, Texas, adjacentTo, Burleson, Texas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Burleson, Texas
Context triple: [Everman, Texas, adjacentTo, Burleson, Texas]
  • A. Burleson, Texas chosen
    Burleson, Texas is a growing suburban city in the Dallas–Fort Worth metropolitan area known for its family-friendly neighborhoods and proximity to Fort Worth.
  • B. Bullard, Texas
    Bullard, Texas is a small town in East Texas that serves as a suburban community within the greater Tyler metropolitan area.
  • C. Navasota, Texas
    Navasota, Texas is a small city in Grimes County that serves as a historic railroad and commercial hub within the Greater Houston metropolitan area.
  • D. Brownsboro, Texas
    Brownsboro, Texas is a small rural city in East Texas known for its close-knit community and location within the Tyler metropolitan area.
  • E. Van Alstyne, Texas
    Van Alstyne, Texas is a small North Texas city known for its historic downtown, rural charm, and growing role as a bedroom community between Sherman and the Dallas–Fort Worth metroplex.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69ca838d3c7c8190a849566d5afd2b11 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc61241d048190aead14a8f5589856 completed April 1, 2026, 12:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfc1c3c6c08190b51ea5e9cf7085e9 completed April 3, 2026, 1:33 p.m.
Created at: March 30, 2026, 6:51 p.m.